A Telementoring Program and Hepatitis C Virus Care in Rural Patients

Ping Du, Xin Yin, Lan Kong, Jeah Jung

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background: Rural patients with chronic hepatitis C virus (HCV) infection may be less likely to access HCV care than those in urban areas. A telementoring, task-shifting model has been implemented to address the unmet needs of HCV care. Evidence is needed on whether this intervention improves HCV care in rural HCV patients. Methods: We compared three key HCV care indicators among Medicare patients with chronic hepatitis C in 2014-2016 by urban-rural status between New Mexico with a telementoring program and Pennsylvania without such a program. We classified each patient's urban-rural status based on his or her ZIP code of residence. We used multivariable log-binomial regressions to examine the relative probability of receiving HCV care by urban and rural status in two states. Results: In New Mexico, 41.3% of HCV patients resided in rural areas (N = 1155). In Pennsylvania, rural patients accounted for 13.2% (N = 1775). The unadjusted overall rates of receiving HCV RNA or genotype testing within 12 months before HCV treatment were 76.1% in "rural-New Mexico"versus 73.3% in "rural-Pennsylvania,"66.2% in "urban-New Mexico,"and 70.2% in "urban-Pennsylvania."Post-treatment HCV RNA testing rate was also high in "rural-New Mexico"(83.0%). After adjusting for demographic and clinical characteristics, "rural-New Mexico"HCV patients who received HCV treatment still had the highest probability of taking HCV RNA or genotype testing before HCV treatment, compared with other groups (relative risk [95% confidence interval]: 0.91 [0.84-1.00] in "rural-Pennsylvania,"0.85 [0.78-0.93] in "urban-New Mexico,"and 0.93 [0.87-1.00] in "urban-Pennsylvania"). Conclusions: The telementoring program may help improve HCV care in rural patients.

Original languageEnglish (US)
Pages (from-to)143-147
Number of pages5
JournalTelemedicine Reports
Volume2
Issue number1
DOIs
StatePublished - May 1 2021

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Health Informatics
  • Computer Science Applications

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